PDII Exam Dumps - Salesforce Certified Platform Developer II ( Plat-Dev-301 )

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In Sales15force, SOSL (Search) queries behave differently than SOQL (Database) queries during unit tests. Because the search index is not updated in real-time during a test transaction, a SOSL FIND statement will consistently return an empty list, even if records matching the criteria were just inserted within the same test method. This leads to the assertion failure seen in the developer's code.

To overcome this, Salesforce provides the Test.setFixedSearchResults() method (Option C). This method allows a developer to define exactly which record IDs should be returned by any SOSL query executed during the test. When Test.setFixedSearchResults(list_of_ids) is called, the platform bypasses the actual search engine and returns the specified records. This ensures that the test remains deterministic and can verify the logic that processes the search results.

Option A (SeeAllData=true) is a poor practice and doesn't guarantee the search index will be ready. Option B (Test.loadData) and Option D (@testSetup) are for data creation but do not solve the underlying SOSL indexing limitation. Using setFixedSearchResults is the standard, documented way to test SOSL functionality in the Apex environment.

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When a requirement specifies a "non-linear" or highl34y customized layout, the high-35level lightning-record-form (A) is unsuitable because it automatically renders fields in a standard grid or based on a page layout. To achieve a custom UI—such as overlaying fields on a product image—the developer needs more granular control.

The lightning-record-edit-form (B) is the ideal container for this scenario. It provides the heavy lifting for data communication (loading and saving records) without imposing a strict visual structure. Within this form, the developer uses lightning-input-field (C) components for each Case field. These components are "context-aware," meaning they automatically inherit metadata like field labels, picklist values, and validation rules directly from the Salesforce object definition.

Because lightning-input-field components can be placed anywhere inside the lightning-record-edit-form tag, the developer can use custom CSS (absolute positioning or CSS Grid) to place them precisely over the product image as requested. Standard lightning-input (D) components could work but would require much more manual code to handle data binding, type conversion, and validation, making the combination of B and C the most efficient and platform-aligned approach.

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Every Apex test execution is treated as a temporary transaction. One of the most critical aspects of this execution is that any changes made to the database—including the insertion, modification, or deletion of records—are automatically rolled back at the end of the test run. This mechanism ensures that unit tests do not leave behind "garbage" data or alter the state of the organization's actual business data, maintaining a consistent environment for development and production.1234

In this specific scenario, the @isTest(SeeAllData=true) annotation is used, which allows the test method to view existing data in the organization. Bec5ause the org already contains five accounts starting with "Test," the test method sees them. When the test code inserts a new 6account named "Test1," the count within that specific transaction becomes six. The subsequent code queries for these six accounts an7d del8etes them. While the test is running, the deletion is successful, which is why the assertion checking for zero accounts passes.

However, once the test finishes, the entire transaction is rolled back. The rollback effectively "undoes" the deletion of the original five accounts and the creation of the one new account. Consequently, the organization returns to its exact state from before the test was initiated. The five original accounts remain in the database as if the test never occurred, making option A the correct answer.

The most effective way to optimize test performance when multiple test methods require the same set of records is to use the @testSetup annotation (Option C).

When a method is marked with @testSetup, Salesforce executes it exactly once before any test methods in the class run. The platform then creates a "database snapshot" of those records. For every individual test method in the class, Salesforce simply rolls back the database to that snapshot rather than re-executing the DML operations required to create the records. This dramatically reduces the total number of DML statements and CPU time consumed during the test run.

In contrast, calling a TestDataFactory (Option D) from within every test method results in the same records being inserted and deleted repeatedly for every test case. If a class has 50 test methods, the records are created 50 times. With @testSetup, they are created once. Option A is not possible (you cannot programmatically disable these during a test run), and Option B is incorrect as test classes do not use constructors in this manner. Using @testSetup is the platform-recommended pattern for efficient, high-performance unit testing.

Comprehensive and Detailed Explanation:

Salesforce enforces test isolation, meaning unit tests do not have access to the data in the organization by default. However, some objects are considered "metadata-like" or "setup objects" and are always visible to tests without special annotations. These include Users (Option C), Profiles (Option D), and RecordTypes (Option A).

Conversely, some objects are considered "data" but cannot be easily created within a test method due to their complexity or nature. Reports (Option B), along with Pricebooks and Folders, fall into a category where access to existing org data is often required because the platform does not support DML operations to create them in a test context. To query for an existing Report record in a unit test, the test class or method must be annotated with @isTest(seeAllData=true).

Note: It is a best practice to avoid seeAllData=true whenever possible to ensure tests are deterministic and independent of the environment, but it remains a requirement for Report-related logic.

When a trigger unexpectedly executes twice (recursion), it is typically due to the Salesforce Order of Execution. A common cause is a workflow rule, process, or flow updating the same record that initiated the transaction, which re-triggers the original Apex trigger. To identify exactly where this second execution is being initiated, the most effective technique is to use system.debug() statements in conjunction with the Developer Console logs (Option D).

By placing debug statements at the start of the trigger (e.g., System.debug('Trigger Fired');), the developer can examine the execution log to see how many times that line appears. More importantly, the execution log provides a hierarchical "trace" of the entire transaction. The developer can look for entries like FLOW_CREATE_INTERVIEW or WF_RULE_EVAL_BEGIN between the two trigger execution blocks. This trace reveals exactly which automation (Flow, Workflow, or another Trigger) caused the record to be updated a second time.

Option A is inefficient and disruptive to production environments. Option B is too broad and doesn't provide the internal execution context. Option C checks for code validity but does not diagnose runtime logic issues in a live environment. Tracing the execution through logs is the standard programmatic way to debug recursion and side effects in Salesforce.

The two symptoms described—slow load times and "Maximum view state size limit exceeded"—are both caused by Large Data Volumes (LDV) being handled improperly in the UI. When a user selects a filter that returns thousands of records, the SOQL query takes longer to execute, and the resulting list is stored in the controller's memory. Because Visualforce serializes all non-transient controller variables into a hidden form field (the View State), large lists quickly exceed the 135KB limit.

The correct resolution is to implement Pagination (Option D). By using the StandardSetController, a developer can easily manage large sets of data by loading only a small subset (e.g., 20 records) into the View State at a time. Users can then navigate through "Pages" of data. Alternatively, adding a LIMIT to the SOQL query prevents the application from attempting to process more data than the platform limits allow.123

Option A is incorrect because picklist fields can be indexed by Salesforce Support or if they are part of a custom index. Option B is the opposite of what is neede4d; adding transient reduces the View State. Option C adds unnecessary complexity without addressing the underlying data volume issue. Using a StandardSetController provides a built-5in, effi6cient way to handle large result sets while keeping the View State small and the page responsive.

To optimize the performance of a Visualforce page that uses external assets, Static Resources (Option5 A) is the pl6atform-native best practice. Static resources allow you to upload content such as archives (.zip or .jar files), images, stylesheets, and JavaScript files that you can reference in a Visualforce page.

The primary benefits of using Static Resources over other methods (like hosting files externally or hardcoding styles) include:

Caching: Salesforce serves static resources from a Content Delivery Network (CDN). This means once a user's browser loads the JavaScript or CSS file, it is cached locally, significantly reducing page load times for subsequent requests.

Relative Referencing: Using the $Resource global variable (e.g., {!URLFOR($Resource.MyZipFile, 'styles/main.css')}) ensures that your page references the correct version of the file across different environments (Sandbox, Production) without changing hardcoded URLs.

Efficiency: By bundling related files into a single ZIP archive as a static resource, you reduce the number of HTTP requests the browser must make to render the page.

Options B and D are related to AJAX and JavaScript-to-Apex communication, and Option C is a component used for rendering data tables; none of these address the storage or caching of external front-end assets.